9 documents found, page 1 of 1
Removing artefacts and periodically retraining improve performance of neural ne...
Lopes, Fábio; Leal, Adriana; Pinto, Mauro F.; Dourado, António; Schulze-Bonhage, Andreas; Dümpelmann, Matthias; Teixeira, César A. D.The development of seizure prediction models is often based on long-term scalp electroencephalograms (EEGs) since they capture brain electrical activity, are non-invasive, and come at a relatively low-cost. However, they suffer from major shortcomings. First, long-term EEG is usually highly contaminated with artefacts. Second, changes in the EEG signal over long intervals, known as concept drift, are often negl...
Unsupervised EEG preictal interval identification in patients with drug-resista...
Leal, Adriana; Curty, Juliana; Lopes, Fábio; Pinto, Mauro F.; Oliveira, Ana; Sales, Francisco; Bianchi, Anna M; Ruano, Maria G; Dourado, AntónioTypical seizure prediction models aim at discriminating interictal brain activity from pre-seizure electrographic patterns. Given the lack of a preictal clinical definition, a fixed interval is widely used to develop these models. Recent studies reporting preictal interval selection among a range of fixed intervals show inter- and intra-patient preictal interval variability, possibly reflecting the heterogeneit...
Unsupervised eeg preictal interval identification in patients with drug-resista...
Leal, Adriana; Curty, Juliana; Lopes, Fábio; Pinto, Mauro F.; Oliveira, Ana; Sales, Francisco; Bianchi, Anna M.; Ruano, Maria; Dourado, AntónioTypical seizure prediction models aim at discriminating interictal brain activity from pre-seizure electrographic patterns. Given the lack of a preictal clinical definition, a fixed interval is widely used to develop these models. Recent studies reporting preictal interval selection among a range of fixed intervals show inter- and intra-patient preictal interval variability, possibly reflecting the heterogeneit...
On the clinical acceptance of black-box systems for EEG seizure prediction
Pinto, Mauro F.; Leal, Adriana Costa; Lopes, Fábio; Pais, José; Dourado, António; Sales, Francisco; Martins, Pedro; Teixeira, César A.Seizure prediction may be the solution for epileptic patients whose drugs and surgery do not control seizures. Despite 46 years of research, few devices/systems underwent clinical trials and/or are commercialized, where the most recent state-of- the- art approaches, as neural networks models, are not used to their full potential. The latter demonstrates the existence of social barriers to new methodologies due ...
Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm
Pinto, Mauro F.; Coelho, Tiago; Leal, Adriana; Lopes, Fábio; Dourado, António; Martins, Pedro; Teixeira, César A.Seizure prediction might be the solution to tackle the apparent unpredictability of seizures in patients with drug-resistant epilepsy, which comprise about a third of all patients with epilepsy. Designing seizure prediction models involves defining the pre-ictal period, a transition stage between interictal brain activity and the seizure discharge. This period is typically a fixed interval, with some recent stu...
A personalized and evolutionary algorithm for interpretable EEG epilepsy seizur...
Pinto, Mauro F.; Leal, Adriana; Lopes, Fábio; Dourado, António; Martins, Pedro; Teixeira, César A.Seizure prediction may improve the quality of life of patients suffering from drug-resistant epilepsy, which accounts for about 30% of the total epileptic patients. The pre-ictal period determination, characterized by a transitional stage between normal brain activity and seizure, is a critical step. Past approaches failed to attain real-world applicability due to lack of generalization capacity. More recently,...
Heart rate variability analysis for the identification of the preictal interval...
Leal, Adriana; Pinto, Mauro F.; Lopes, Fábio; Bianchi, Anna M; Henriques, Jorge; Ruano, Maria G.; Carvalho, Paulo de; Dourado, AntónioElectrocardiogram (ECG) recordings, lasting hours before epileptic seizures, have been studied in the search for evidence of the existence of a preictal interval that follows a normal ECG trace and precedes the seizure's clinical manifestation. The preictal interval has not yet been clinically parametrized. Furthermore, the duration of this interval varies for seizures both among patients and from the same pati...
Heart rate variability analysis for the identification of the preictal interval...
Leal, Adriana; Pinto, Mauro F.; Lopes, Fábio; Bianchi, Anna M.; Henriques, Jorge; Ruano, Maria; de Carvalho, Paulo; Dourado, António; Teixeira, César A.Electrocardiogram (ECG) recordings, lasting hours before epileptic seizures, have been studied in the search for evidence of the existence of a preictal interval that follows a normal ECG trace and precedes the seizure's clinical manifestation. The preictal interval has not yet been clinically parametrized. Furthermore, the duration of this interval varies for seizures both among patients and from the same pati...
Prediction of disease progression and outcomes in multiple sclerosis with machi...
Pinto, Mauro F.; Oliveira, Hugo; Batista, Sónia; Cruz, Luís; Pinto, Mafalda; Correia, Inês; Martins, Pedro; Teixeira, CésarMultiple Sclerosis is a chronic inflammatory disease, affecting the Central Nervous System and leading to irreversible neurological damage, such as long term functional impairment and disability. It has no cure and the symptoms vary widely, depending on the affected regions, amount of damage, and the ability to activate compensatory mechanisms, which constitutes a challenge to evaluate and predict its course. A...